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Application of a Distributed Hydrologic Model to the November 17, 2004, Flood of Bull Creek Watershed, Austin, Texas

机译:分布式水文模型在2004年11月17日得克萨斯州奥斯丁的Bull Creek流域洪水中的应用

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摘要

This study presents a hydrologic analysis of a flood event that took place over a small urbanizing watershed in Austin, Texas. The physically based, distributed-parameter gridded surface subsurface hydrologic analysis (GSSHA) hydrologic model was used to simulate the watershed response to a very high-intensity rain event. The hydrologic model was forced by both gauge-observed and multisensor precipitation estimator (MPE) rainfall input. Observed discharge was compared to GSSHA-generated hydrograph under various degrees of representation of the watershed physiography. In addition, simulation hydrographs by GSSHA using five different model grid sizes were compared in order to evaluate the effect of grid size on model predictions. The simulation hydrograph for the model using a 30-m grid cell generally compared well to the observed flow data once the effects of storm water detention were simulated. The comparison of simulation results from models using 30, 60, 90, 120, and 150 m grid size highlighted the loss of accuracy as the model grid size is increased. Driving the hydrologic model by data from the two rain gauges existing on the watershed resulted in significant overestimation of the runoff.
机译:这项研究提供了对德克萨斯州奥斯汀市一个小型城市化流域发生的洪水事件的水文分析。基于物理的分布参数网格化地表地下水文分析(GSSHA)水文模型用于模拟流域对非常高强度降雨事件的响应。水文模型是由规范观测和多传感器降水估计器(MPE)降雨输入共同推动的。在分水岭生理学的不同表示下,将观测到的流量与GSSHA生成的水文图进行了比较。此外,比较了GSSHA使用五个不同模型网格大小的模拟水文图,以评估网格大小对模型预测的影响。一旦模拟了雨水滞留的影响,使用30米网格单元的模型模拟水文图通常可以很好地与观测到的流量数据进行比较。对使用30、60、90、120和150 m网格尺寸的模型进行的仿真结果比较表明,随着模型网格尺寸的增加,准确性会下降。利用分水岭上现有的两个雨量计的数据来驱动水文模型,导致对径流的高估。

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